AI 中文总结
该研究提出用金属碳纳米管作为轻暗物质直接探测的一维等离子体目标，通过计算DM - 电子散射灵敏度，发现其在keV - MeV质量范围有竞争力，还能利用恒星日调制区分信号与背景，确立了一维集体模式为新探测目标类别。
AI 中文摘要
我们提出将金属碳纳米管（CNT）作为用于轻暗物质（DM）直接探测的一维等离子体目标。与传统的无隙电子目标不同，在传统目标中DM主要激发电子 - 空穴对，而金属CNT的低能电荷响应由集体卢廷格液体模式承载。我们通过重和轻的媒介物计算了DM - 电子散射的预期灵敏度，使用了类似量子电容探测器和类似超导准粒子放大跨导读出的基准阈值。对于累积纳米管长度\(L_{\text{CNT}} = 10^8{\rm m}\)（对应毫克级单壁CNT目标），我们发现在keV - MeV质量范围内具有竞争力的探测范围。在轻媒介物情况下，预期灵敏度可以探测keV质量下符合宇宙学动机的冻结基准。我们还表明，排列的CNT的一维几何结构会引起恒星日调制，为从近似时间无关的传感器背景中区分DM信号提供了一种方法。这些结果确立了一维集体模式作为亚MeV DM探测的新目标类别。可扩展CNT合成和超导准粒子传感的现有进展提供了有前景的实验基础，而实现所提出的探测器将需要专门开发CNT - 超导体耦合和等离子体到准粒子的转换。
英文摘要
We propose metallic carbon nanotubes (CNTs) as a one-dimensional plasmon target for light dark matter (DM) direct detection. Unlike conventional gapless electronic targets, where DM primarily excites electron-hole pairs, the low-energy charge response of a metallic CNT is carried by a collective Luttinger-liquid mode. We compute the projected sensitivity for DM-electron scattering through heavy and light mediators, using benchmark thresholds motivated by quantum-capacitance-detector-like and superconducting-quasiparticle-amplifying-transmon-like readout. For an accumulated nanotube length $L_{\text{CNT}}=10^8{\rm m}$, corresponding to milligram-scale single-wall CNT targets, we find competitive reach in the keV--MeV mass range. In the light-mediator case, the projected sensitivity can probe the cosmologically motivated freeze-in benchmark at keV masses. We also show that the one-dimensional geometry of aligned CNTs induces sidereal-day modulation, providing a handle for distinguishing a DM signal from approximately time-independent sensor backgrounds. These results establish one-dimensional collective modes as a new target class for sub-MeV DM detection. Existing progress in scalable CNT synthesis and superconducting quasiparticle sensing provides a promising experimental foundation, while realizing the proposed detector will require dedicated development of CNT--superconductor coupling and plasmon-to-quasiparticle conversion.
Comments5 pages, 3 figures
